Abstract for wang_icassp2004

Proc. ICASSP2004

MPE-BASED DISCRIMINATIVE LINEAR TRANSFORM FOR SPEAKER ADAPTATION

L. Wang and P.C. Woodland

May 2004

In this paper, we present a discriminative method for speaker
adaptation, where the
minimum phone error (MPE) criterion is used to estimate the
discriminative linear transform (DLT), including mean and diagonal
variance transforms.
The I-smoothing technique is essential to improve the generalization
of DLTs.
Experiments on supervised adaptation for non-native speakers on the
North American Business (NAB) Spoke 3 task show that MPE-based DLT
outperforms both MLLR and previously proposed discriminative method
for transform estimation.
Preliminary experiments on unsupervised DLT estimation are plotted on
conversational telephone speech transcription.

If you have difficulty viewing files that end '.gz',
which are gzip compressed, then you may be able to find
tools to uncompress them at the gzip
web site.

If you have difficulty viewing files that are in PostScript, (ending
'.ps' or '.ps.gz'), then you may be able to
find tools to view them at
the gsview
web site.

We have attempted to provide automatically generated PDF copies of
documents for which only PostScript versions have previously been available.
These are clearly marked in the database - due to the nature of the
automatic conversion process, they are likely to be badly aliased
when viewed at default resolution on screen by acroread.